taoufik makhloufi
olympic champion🥇🥈🥈
69,752
Followers
31
Following
371
Tweets
293.1
Avg Engagement
41
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gold1500m's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2014-01-01
- Verification:No
- Location:algeria🇩🇿/souk ahras
Data Summary
- Tweets Analyzed:370
- Avg Likes per Tweet:276.0
- Avg Retweets per Tweet:17.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 370 tweetsThe account has high engagement with an average of 3,964 likes and 287 retweets per tweet, showing a dedicated and active audience.
276.0
Avg Likes/Tweet
17.1
Avg Retweets/Tweet
102,104
Total Likes
6,331
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
18
Median Likes
2
Median Retweets
70
75th Percentile
12,402
Top Tweet
4.2
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
96.5%
Original
3.0%
Replies
0.5%
Retweets
0.0%
Quotes
0.0%
Threads
6.5%
With Media
91.9%
With Links
29.7%
With #Tags
5.1%
With @Mentions
8.6%
With Emojis
76
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 370 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 2 retweets (1% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 370 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe audience appears to be interested in sports, particularly athletics, and national pride. They are likely fans of the athlete's achievements and personal journey.
Below Average
Audience Quality
38.5%
Suspicion Index
45.7%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.7%
Empty Bio
61.1%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
87.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.9%
No URL
42.8%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
1,160,442
Total Potential Reach
2
Median Follower Reach
11
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
15.7%
Creators
1,566 accounts
23.3%
Consumers
2,327 accounts
61.1%
Dormant
6,107 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
5
Verified Followers
0.05% of total
855
Protected Accounts
8.55% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @Nabil_djellit | 487,464 | Journalist | Football, Journalism, Sports |
| @DZFOOTBALLDZ | 54,270 | Football Media | Algeria, Football, Media |
| @B123alger | 35,647 | - | - |
| @RunBlogRun | 35,269 | - | - |
| @hoggar62 | 20,265 | - | - |
| @J0gfBA7FhZcMLmt | 20,073 | - | - |
| @MESSAI_Bill | 16,124 | - | - |
| @SofianePress | 12,622 | - | - |
| @CDF_Football | 11,601 | - | - |
| @Yamanour1 | 10,952 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,134
Followers With Bio
4,866
Followers Without Bio
51.34%
% With Bio
48.66%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 370 analyzed28,015
Combined Engagement
26,061
Total Likes
1,954
Total Retweets
5,603
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
60%
With Links
Topical Analysis:
تقريبا أربعة أشهر وأنا مرمي في جنوب إفريقيا🇿🇦(جوهسبورغ) لا إجلاء ولا حتي حركة تشبه له من طرف الدولة الجزائرية لرجوع إلي أرض الوطن،أثبت لي أنه لاقيمتا لي كمواطن جزائري أو حتي كبطل أولمبي دافع وشرف الراية الجزائرية🇩🇿. وهذه الكلمات كانت في قلبي فكتبتها،ولست أستهدف بها الإستعطاف💪🏼.
اليوم تمر 8 سنوات علي تحقيق حلم عملت و صبرت و ضحيت لأجله وشرفت وطني و رفعت رايته🇩🇿 في لندن 🇬🇧مرفوقة في صعودها الي الأعلي بألحان النشيد الوطني وهذا بفضل الله الذي وفقني🙏، وجعلني سببا في فرحت الشعب الجزائري. https://t.co/Bb7lOiNq58
https://t.co/VSIkVTur9Z
https://t.co/9u1Wn7hyzk
قلوبنا معكم ياأهلنا في السودان❤🇸🇩
Key Insights & Takeaways
The user frequently shares personal and emotional stories, which resonate with their audience. They highlight their struggles and perseverance, which can inspire followers. Their content often includes a strong sense of national pride and identity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,752
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @gold1500m reveals an well-established Twitter presence with 69,752 followers. The account demonstrates a content-creator strategy, averaging 293.1 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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